Algorithm of peak_finder_v3

• makes a map of local maximums of requested rank for data ndarray using mask,
• for each peak candidate defines the number of pixels, total intensity in the region defined by rank radius evaluates background level, rms of noise, and S/N using parameters r0=5.0, dr=0.05
• apply peak selection parameters, for example

alg.set_peak_selection_pars(npix_min=5, npix_max=500, amax_thr=0, atot_thr=1000, son_min=6)

Demonstration for local maximum map

Test for 100x100 image with random normal distribution of intensities

Maps of local maximums found for rank from 1 to 5

pixel color coding:

• blue=0 - not a local maximum
• green=1 - local maximum in row
• yellow=1+2 - local maximum in row and column
• red=1+2+4 - local maximum in rectangular region of radius=rank.

Table for rank, associated 2-d region size, and fraction of pixels recognized as local maximums.